Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
8311
Single Precision Score
10486
Half Precision Score
16256
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 22 2025 09:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Tower Plus EBT2250 |
| Motherboard | Dell Inc. 02D3NT |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4223
785.4 IPS |
|
|
Image Classification (HP)
|
100% |
7478
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10520
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8119
131.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3591
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13401
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
35249
41.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75411
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
5918
469.4 IPS |
|
|
Object Detection (HP)
|
100% |
6247
495.6 IPS |
|
|
Object Detection (Q)
|
88% |
10633
852.4 IPS |
|
|
Face Detection (SP)
|
100% |
16471
195.7 IPS |
|
|
Face Detection (HP)
|
100% |
18292
217.3 IPS |
|
|
Face Detection (Q)
|
100% |
34262
407.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14199
109.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18642
143.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34234
266.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27624
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54791
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
98952
127.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8089
298.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16442
607.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31947
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (Q)
|
92% |
2357
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2917
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4869
83.9 IPS |
